Lee Se Jin, Oh Hye Rim, Na Sunghun, Hwang Han Sung, Lee Seung Mi
Department of Obstetrics and Gynecology, Kangwon National University Hospital, School of Medicine, Kangwon National University, Chuncheon, Korea.
Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul, Korea.
Obstet Gynecol Sci. 2022 Jan;65(1):1-13. doi: 10.5468/ogs.21212. Epub 2021 Dec 14.
During routine antenatal ultrasound examinations, an ovarian mass can be found incidentally. In clinical practice, the differential diagnosis between benign and malignant ovarian masses is essential for planning further management. Ultrasound imaging has become the most popular diagnostic tool during pregnancy, with the recent development of ultrasonography. In non-pregnant women, several methods have been used to predict malignant ovarian masses before surgery. The International Ovarian Tumor Analysis (IOTA) group reported several scoring systems, such as the IOTA simple rules, IOTA logistic regression models, and IOTA assessment of different NEoplasias in the adneXa. Other researchers have also evaluated the malignancy of ovarian masses before surgery using scoring systems such as the Sassone score, pelvic mass score, DePriest score, Lerner score, and Ovarian-Adnexal Reporting and Data System. These researchers suggested specific features of ovarian masses that can be used for differential diagnosis, including size, proportion of solid tissue, papillary projections, inner wall structure, locules, wall thickness, septa, echogenicity, acoustic shadows, and presence of ascites. Although these factors can also be measured in pregnant women using ultrasound, only a few studies have applied ovarian scoring systems in pregnant women. In this article, we reviewed various scoring systems for predicting malignant tumors of the ovary and determined whether they can be applied to pregnant women.
在常规产前超声检查期间,可能会偶然发现卵巢肿块。在临床实践中,卵巢肿块的良恶性鉴别诊断对于规划进一步的治疗至关重要。随着超声检查技术的最新发展,超声成像已成为孕期最常用的诊断工具。在非妊娠女性中,术前已采用多种方法来预测卵巢恶性肿块。国际卵巢肿瘤分析(IOTA)小组报告了几种评分系统,如IOTA简单规则、IOTA逻辑回归模型以及IOTA附件不同肿瘤的评估方法。其他研究人员也使用诸如萨索内评分、盆腔肿块评分、德普里斯特评分、勒纳评分和卵巢附件报告与数据系统等评分系统在术前评估卵巢肿块的恶性程度。这些研究人员提出了可用于鉴别诊断的卵巢肿块的特定特征,包括大小、实性组织比例、乳头状突起、内壁结构、小房、壁厚、分隔、回声性、声影以及腹水的存在。尽管这些因素也可以通过超声在孕妇中进行测量,但仅有少数研究在孕妇中应用了卵巢评分系统。在本文中,我们回顾了各种预测卵巢恶性肿瘤的评分系统,并确定它们是否可应用于孕妇。